4 citations · 8 across the 3 of their papers we have counts for
4 papers
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang +1
In the last a few decades, deep neural networks have achieved remarkable success in machine learning, computer vision, and pattern recognition. Recent studies however show that neu…
Improving Model Robustness with Latent Distribution Locally and Globally
Zhuang Qian, Shufei Zhang, Kaizhu Huang +3
In this work, we consider model robustness of deep neural networks against adversarial attacks from a global manifold perspective. Leveraging both the local and global latent infor…
Robust Generative Adversarial Network
Shufei Zhang, Zhuang Qian, Kaizhu Huang +2
Generative adversarial networks (GANs) are powerful generative models, but usually suffer from instability and generalization problem which may lead to poor generations. Most exist…
Generative Adversarial Classifier for Handwriting Characters Super-Resolution
Zhuang Qian, Kaizhu Huang, Qiufeng Wang +2
Generative Adversarial Networks (GAN) receive great attentions recently due to its excellent performance in image generation, transformation, and super-resolution. However, GAN has…